Senior Logistics Process Engineer

Milestone Technologies

AZ, USA

Pay: $96,000-$120,000/yr

**Company Overview**

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Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

**Job Overview**

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The Senior Logistics Process Engineer is responsible for designing, optimizing, documenting, and implementing end-to-end logistics processes for hyperscale and large-campus data center operations. The role focuses on the rapidly evolving logistics requirements created by data center expansion, including warehouse operations, hub-to-spoke and internal material distribution, rack receiving and movement, spare parts, staging, transportation, inventory control, returns, reverse logistics, and system-enabled traceability. The position combines process engineering, industrial engineering, logistics technology, and data analysis to create scalable, safe, measurable operating models.

**Key Responsibilities**

• Design and optimize end-to-end logistics processes across receiving, inspection, staging, put-away, storage, replenishment, picking, internal distribution, rack movements, outbound flows, returns, reverse logistics, and spare-parts management.
• Develop scalable internal material-distribution models for data center campuses, warehouses, hubs and spokes, defining material handoffs, routes, service levels, process controls, exception paths, and ownership.
• Analyze current-state operations to identify bottlenecks, unnecessary handling, delays, inventory risk, capacity constraints, safety risks, and opportunities for automation or standardization.
• Conduct time studies and time-and-motion studies to establish cycle times, standard work, productivity expectations, staffing assumptions, and capacity requirements.
• Build or support discrete-event simulations and scenario models to test process flows, warehouse layouts, resource utilization, queues, staffing levels, equipment needs, and future volume growth before implementation.
• Create and maintain process documentation including process flows, swimlane diagrams, value-stream maps, decision logic, system interaction maps, business rules, and operational standards.
• Design and optimize warehouse layouts and operating processes, including staging zones, storage strategy, replenishment, cycle counting, quarantine, returns, material routes, and location controls.
• Translate operational requirements into functional requirements for WMS, TMS, ERP, inventory, product automation, IoT, AI, and other logistics technologies; support selection, testing, implementation, and post-launch optimization.
• Define and monitor KPIs including throughput, lead time, cycle time, delivery accuracy, inventory accuracy, productivity, utilization, returns, and inventory turnover; use data to validate improvement impact.
• Partner with operations, business intelligence, safety, compliance, and customer teams during data center launches, expansions, service transitions, and continuous-improvement initiatives.
• Conduct on-site operational assessments, process observations, time studies, implementation validation, and workflow analysis across data center campuses and warehouse environments.

**Key Skills & Qualifications**

• Strong knowledge of logistics, warehouse operations, supply chain, inventory control, internal distribution, transportation, and reverse logistics.
• Strong process and industrial-engineering capability, including process design, time studies, capacity analysis, workflo